Job Description
We are at the dawn of a new era, and QuantumLeap Systems is seeking a visionary Future-Ready AI Architect to define our strategic roadmap for 2026. You won't just be building software; you will be architecting the future of intelligent automation, ensuring our infrastructure is resilient, scalable, and ahead of the curve.
In this high-impact role, you will bridge the gap between emerging technologies and business objectives, leading a team of elite engineers to deliver next-generation solutions. If you thrive in ambiguity and possess a passion for shaping the technological landscape of tomorrow, this is your opportunity to leave a lasting legacy.
Why Join Us?
- Strategic Influence: Directly impact the 2026 product vision and architectural direction.
- Top-Tier Talent: Work alongside industry leaders in a cutting-edge environment.
- Equity Package: Competitive stock options reflecting our growth trajectory.
- Flexible Future: Hybrid work model designed for peak productivity and work-life balance.
Responsibilities
- Architect the 2026 Vision: Design and oversee the implementation of a scalable, future-proof AI infrastructure capable of supporting enterprise-grade workloads.
- Strategic Roadmapping: Translate complex business goals into technical roadmaps, identifying emerging technologies (e.g., Generative AI, Quantum Computing readiness) to gain a competitive edge.
- Technical Leadership: Mentor senior engineers and architects, fostering a culture of innovation, code excellence, and continuous learning.
- System Optimization: Drive architectural decisions that improve system latency, security, and cost-efficiency for future scaling.
- Stakeholder Management: Communicate complex technical strategies to non-technical stakeholders and executive leadership to secure buy-in for 2026 initiatives.
- Cross-Functional Collaboration: Partner with product, design, and data science teams to ensure seamless integration of AI solutions.
- Disaster Recovery & Security: Establish robust protocols for system integrity and data privacy in an increasingly decentralized world.
Qualifications
- Experience: 10+ years of experience in software architecture, with at least 5 years specifically focused on AI/ML systems and cloud infrastructure.
- Tech Stack: Deep expertise in Python, TensorFlow/PyTorch, Kubernetes, Docker, and AWS/GCP/Azure.
- Strategic Mindset: Proven ability to look beyond current tech stacks and predict future trends to build sustainable systems.
- Leadership: Demonstrated success in leading high-performance engineering teams through complex transformations.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
- Certifications: AWS Solutions Architect or Google Cloud Professional Cloud Architect certification is a strong plus.
- Soft Skills: Exceptional problem-solving skills, excellent communication abilities, and a passion for mentoring.